bea2019st/wi_locness
Updated • 393 • 15
How to use ayakiri/sentence-correction-t5-base-enhanced with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("ayakiri/sentence-correction-t5-base-enhanced")
model = AutoModelForSeq2SeqLM.from_pretrained("ayakiri/sentence-correction-t5-base-enhanced", device_map="auto")This model was trained from scratch on the wi_locness dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 375 | 1.4579 |
| 1.4421 | 2.0 | 750 | 1.4339 |
| 1.4061 | 3.0 | 1125 | 1.4268 |